DEEP LEARNING TECHNIQUES BASED MULTI-PURPOSE CONVERSATIONAL AGENTS FOR PROCESSING NATURAL LANGUAGE QUERIES

摘要

Systems and methods for Deep Learning techniques based multi-purposeconversationalagents for processing natural language queries. The traditional systems andmethodsprovide for conversational systems for processing natural language queries butdo notemploy Deep Learning techniques, and thus are unable to process large numberof intents.Embodiments of the present disclosure provide for Deep Learning techniquesbasedmulti-purpose conversational agents for processing the natural languagequeries by defining andlogically integrating a plurality of components comprising of multi-purposeconversationalagents, identifying an appropriate agent to process one or more naturallanguage queriesby a High Level Intent Identification technique, predicting a probable userintent,classifying the query, and generate a set of responses by querying or updatingone or moreknowledge graphs (322).